{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "deletable": true,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "# 为什么一定要掌握自学能力？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "deletable": true,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "一句话解释清楚：\n",
    "\n",
    "> 没有自学能力的人没有**未来**。\n",
    "\n",
    "有两个因素需要深入考虑：\n",
    "\n",
    "> * 未来的日子还很长\n",
    "> * 这世界进步得太快\n",
    "\n",
    "我有个观察：\n",
    "\n",
    "> 很多人都会不由自主地去复刻父母的人生时刻表。\n",
    "\n",
    "比如，你也可能观察到了，父母晚婚的人自己晚婚的概率更高，父母晚育的人自己晚育的概率也更高……\n",
    "\n",
    "再比如，绝大多数人的内心深处，会不由自主地因为自己的父母在五十五岁的时候退休了，所以就默认自己也会在五十五岁前后退休…… 于是，到了四十岁前后的时候就开始认真考虑退休，在不知不觉中就彻底丧失了斗志，早早就活得跟已经老了很多岁似的。\n",
    "\n",
    "但是，这很危险，因为很多人完全没有意识到自己所面临的人生，与父母所面临的人生可能完全不一样 —— 各个方面都不一样。单举一个方面的例子，也是比较容易令人震惊的方面：\n",
    "\n",
    "> 全球范围内都一样，在过去的五十年里，人们的平均寿命预期增长得非常惊人……\n",
    "\n",
    "拿中国地区做例子，根据世界银行的数据统计，中国人在出生时的寿命预期，从 1960 年的 _43.73_ 岁，增长到了 2016 年的 _76.25_ 岁，56 年间的增幅竟然有 **74.39%** 之多！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "button": false,
    "collapsed": false,
    "deletable": true,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "data = np.genfromtxt('life-expectancy-china-1960-2016.txt',\n",
    "                     delimiter=',',\n",
    "                     names=['x', 'y'])\n",
    "da1960  = data[0][1]\n",
    "da2016  = data[-1][1]\n",
    "increase = (da2016 - da1960) / da1960\n",
    "note = 'from {:.2f} in 1960 to {:.2f} in 2016, increased  {:.2%}'\\\n",
    "    .format(da1960, da2016, increase)\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(data['x'], data['y'])\n",
    "plt.ylabel('Life Expectancy from Birth')\n",
    "plt.tick_params(axis='x', rotation=70)\n",
    "plt.title('CHINA\\n' + note)\n",
    "\n",
    "# plt.savefig('life-expectancy-china-1960-2016.png', transparent=True)\n",
    "plt.show()\n",
    "\n",
    "# data from:\n",
    "# https://databank.worldbank.org/data/reports.aspx?source=2&series=SP.DYN.LE00.IN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "deletable": true,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "如此发展下去，虽然人类不大可能永生不死，但平均寿命依然在持续延长是个不争的事实。与上一代不同，现在的千禧一代，需要面对的是百岁人生 —— 毫无疑问，不容置疑。\n",
    "\n",
    "这么长的人生，比默认的想象中可能要多出近一倍的人生，再叠加上另外一个因素 —— 这是个变化越来越快的世界 —— 会是什么样子？\n",
    "\n",
    "我是 1972 年出生的。从交通工具来看，我经历过出门只能靠步行，大街上都是牛车马车，机动车顶多见过拖拉机，到有自行车，到见过摩托车，到坐小汽车，到自己开车，到开有自动辅助驾驶功能的电动车…… 从阅读来看，我经历过只有新华书店，到有网络上的文字，到可以在当当上在线买到纸质书，到有了国际信用卡后可以在 Amazon 上第一时间阅读新书的电子版、听它的有声版，到现在可以很方便地获取最新知识的互动版，并直接参与讨论…… 从技能上来看，我经历过认为不识字是文盲，到不懂英语是文盲，到不懂计算机是文盲，到现在，不懂数据分析的基本与文盲无异……\n",
    "\n",
    "我也见识过很多当年很有用很赚钱很令人羡慕的技能 “突然” 变成几乎毫无价值的东西，最明显的例子是驾驶。也就是二十多年前，的哥还是很多人羡慕的职业呢！我本科的时候学的是会计专业，那时候我们还要专门练习打算盘呢！三十年之后的今天，就算有人打算盘打得再快，有什么具体用处嘛？我上中学的时候，有个人靠出版字帖赚了大钱 —— 那时候据说只要写字漂亮就能找到好工作；可今天，写字漂亮与否还是决定工作好坏的决定性因素吗？打印机很便宜啊！\n",
    "\n",
    "这两个因素叠加在一起的结果就是，这世界对很多人来说，其实是越来越残忍的。\n",
    "\n",
    "我见过太多的同龄人，早早就停止了进步，早早就被时代甩在身后，早早就因此茫然不知所措 —— 早早晚晚，你也会遇到越来越多这样的人。他们的共同特征只有一个：\n",
    "\n",
    "> 没有自学能力\n",
    "\n",
    "有一个统计指数，叫做人类发展指数（Human Development Index），它的曲线画出来，怎么看都有即将成为指数级上升的趋势。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.figure(figsize=(10, 5))\n",
    "\n",
    "lebdata = np.genfromtxt('life-expectancy-china-1960-2016.txt', delimiter=',', names=['x','y'])\n",
    "hdidata = np.genfromtxt('hdi-china-1870-2015.txt', delimiter=',', names=['x','y'])\n",
    "\n",
    "plt.plot(hdidata['x'], hdidata['y'], label = 'Human Development Index')\n",
    "plt.tick_params(axis='x', rotation = 61.8)\n",
    "plt.title('China: 1870 - 2015')\n",
    "\n",
    "plt.plot(lebdata['x'], lebdata['y'] * 0.005, label = 'Life Expectancy from Birth')\n",
    "'''plt.plot(secondary_y=True)'''\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "button": false,
    "collapsed": false,
    "deletable": true,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.figure(figsize=(10, 5))\n",
    "\n",
    "lebdata = np.genfromtxt('life-expectancy-china-1960-2016.txt',\n",
    "                        delimiter=',',\n",
    "                        names=['x', 'y'])\n",
    "\n",
    "hdidata = np.genfromtxt('hdi-china-1870-2015.txt',\n",
    "                        delimiter=',',\n",
    "                        names=['x', 'y'])\n",
    "\n",
    "\n",
    "plt.plot(hdidata['x'], hdidata['y'], label='Human Development Index')\n",
    "plt.tick_params(axis='x', rotation=70)\n",
    "plt.title('China: 1870 - 2015')\n",
    "\n",
    "plt.plot(lebdata['x'], lebdata['y'] * 0.005, label='Life Expectancy from Birth')\n",
    "plt.plot(secondary_y=True)\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "# plt.savefig('human-development-index-china-1870-2015.png', transparent=True)\n",
    "plt.show()\n",
    "\n",
    "# link:\n",
    "# https://ourworldindata.org/human-development-index\n",
    "\n",
    "# data from:\n",
    "# blob:https://ourworldindata.org/44b6da71-f79e-42ab-ab37-871e4bd256e9"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "deletable": true,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "社会发展越来越快，你要面对的人生越来越长，在那一段与你的直觉猜想并不相同的漫漫人生路上，你居然没有磨练过自学能力，竟然只能眼睁睁地看着自己被甩下且无能为力，难道接下来要在那么长的时间里 “苦中作乐” 吗？\n",
    "\n",
    "没有未来的日子，怎么过呢？\n",
    "\n",
    "我本科学的是会计，研究生跑到国外读宏观经济学没读完，跑回国内做计算机硬件批发，再后来去新东方应聘讲授托福课程，离开新东方之后创业，再后来做投资，这期间不断地写书…… 可事实上，我的经历在这个时代并不特殊。有多少人在后来的职业生涯中所做的事情与当年大学里所学的专业相符呢？\n",
    "\n",
    "纽约联邦储蓄银行在 2012 年做过一个调查，发现人们的职业与自己大学所学专业相符的比例连 _30%_ 都不到。而且，我猜，这个比例会持续下降的 —— 因为这世界变化快，因为大多数教育机构与世界发展脱钩的程度只能越来越严重……"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "button": false,
    "collapsed": false,
    "deletable": true,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "labels = ['Major Match', '']\n",
    "sizes = [273, 727]\n",
    "colors = ['#E2E2E2', '#6392BF']\n",
    "explode = (0, 0.08)\n",
    "plt.figure(figsize=(7, 7))\n",
    "plt.pie(sizes,\n",
    "        labels=labels,\n",
    "        explode=explode,\n",
    "        autopct='%1.1f%%',\n",
    "        colors=colors,\n",
    "        startangle=270,\n",
    "        shadow=True)\n",
    "# plt.savefig('major-match-job.png', transparent=True)\n",
    "plt.show()\n",
    "\n",
    "# data from:\n",
    "# https://libertystreeteconomics.newyorkfed.org/2013/05/do-big-cities-help-college-graduates-find-better-jobs.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "deletable": true,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "绝大多数人终生都饱受**时间幻觉**的拖累。\n",
    "\n",
    "小时候觉得时间太长，那是幻觉；长大了觉得时间越来越快，那还是幻觉 —— 时间从来都是匀速的。最大的幻觉在于，总是以为 “时间不够了” —— 这个幻觉最坑人。许多年前，有一次我开导我老婆。她说，“啊？得学五年才行啊？！太长了！” 我说，\n",
    "\n",
    "> “你回头看看呗，想想呗，五年前你在做什么？是不是回头一看的时候，五年前就好像是昨天？道理是一样的，五年之后的某一天你回头想今天，也是 ‘一转眼五年就过去’ 了…… 只不过，你今天觉得需要时间太多，所以不肯学 —— 但是，不管你学还是不学，五年还是会 ‘一转眼就过去’ 的…… 到时候再回头，想起这事的时候，没学的你，一定会后悔 —— 事实上，你已经有很多次后悔过 ‘之前要是学了就好了’，不是吗？”\n",
    "\n",
    "现在回头看，开导是非常成功的。十多年后的今天，她已经真的可以被称为 “自学专家” —— 各种运动在她那儿都不是事。健身，可以拿个北京市亚军登上健与美杂志封面；羽毛球，可以参加专业比赛；潜水，潜遍全球所有潜水胜地，到最后拿到的各种教练证比她遇到的各地教练的都多、更高级；帆船，可以组队横跨大西洋；爬山，登上喜马拉雅……"
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    "都说，人要有一技之长。那这一技究竟应该是什么呢？\n",
    "\n",
    "> 自学能力是唯一值得被不断磨练的长技。\n",
    "\n",
    "磨练出自学能力的好处在于，无论这世界需要我们学什么的时候，我们都可以主动去学，并且还是马上开始 —— 不需要等别人教、等别人带。\n",
    "\n",
    "哪怕有很强的自学能力的意思也并不是说，什么都能马上学会、什么都能马上学好，到最后无所不精无所不通…… 因为这里有个时间问题。无论学什么，都需要耗费时间和精力，与此同时更难的事情在于不断填补耐心以防它过早耗尽。另外，在极端的情况下，多少也面临天分问题。比如身高可能影响打篮球的表现，比如长相可能影响表演的效果，比如唱歌跑调貌似是很难修复的，比如有些人的粗心大意其实是基因决定的，等等。不过，以我的观察，无论是什么，哪怕只是学会一点点，都比不会强。哪怕只是中等水平，就足够应付生活、工作、养家糊口的需求。\n",
    "\n",
    "我在大学里学的是会计专业，毕业后找不到对口工作，只好去做销售 —— 没人教啊！怎么办？自学。也有自学不怎么样的时候，比如当年研究生课程我就读不完。后来想去新东方教书 —— 因为听说那里赚钱多 —— 可英语不怎么样啊！怎么办？自学。离开新东方去创业，时代早就变了，怎么办？自学，学的不怎么样，怎么办？硬挺。虽然创业这事后来也没怎么大成，但竟然在投资领域开花结果 —— 可赚了钱就一切平安如意了吗？并不是，要面对之前从来没可能遇到的一些险恶与困境，怎么办？自学。除了困境之外，更痛苦的发现在于对投资这件事来说，并没有受过任何有意义的训练，怎么办？自学。觉得自己理解的差不多了，一出手就失败，怎么办？接着学。\n",
    "\n",
    "我出身一般，父母是穷教师。出生在边疆小镇，儿时受到的教育也一般，也是太淘气 —— 后来也没考上什么好大学。说实话，我自认天资也一般，我就是那种被基因决定了经常马虎大意的人。岁数都这么大了，情商也都不是一般的差 —— 还是跟年轻的时候一样，经常莫名其妙就把什么人给得罪透了……\n",
    "\n",
    "但我过得一直不算差。\n",
    "\n",
    "靠什么呢？人么，一个都靠不上。到最后，我觉得只有一样东西真正可靠 —— **自学能力**。于是，经年累月，我磨练出了一套属于我自己的本领：只要我觉得有必要，我什么都肯学，学什么都能学会到够用的程度…… 编程，我不是靠上课学会的；英语，不是哪个老师教我的；写作，也不是谁能教会我的；教书，没有上过师范课程；投资，更没人能教我 —— 我猜，也没人愿意教我…… 自己用的东西自己琢磨，挺好。\n",
    "\n",
    "关键在于，自学这事并不难，也不复杂，挺简单的，因为它所需要的一切都很朴素。\n",
    "\n",
    "于是，从某个层面上来看，我每天都过的很开心。为什么？因为我有未来。凭什么那么确信？因为我知道我自己有自学能力。\n",
    "\n",
    "**—— 我希望你也有。**\n",
    "\n",
    "准确地讲，希望你有个更好的未来。\n",
    "\n",
    "而现在我猜，此刻，你心中也是默默如此作想的罢。"
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